METODOLOGÍA DE SELECCIÓN DE INDICADORES DE DESEMPEÑO AMBIENTAL PARA LA PRODUCCIÓN DE ACERO SOSTENIBLE MEDIANTE SISTEMAS DE CONTROL INTELIGENTE

Abstract

Steel production is involved in a continuous improvement forced by customers to enhance product quality as well as to reduce production costs. Joint with those requirements, both society and the regulators increase their pressure to reduce the environmental burdens so the decision process has necessarily to include the environmental perspective. This communication proposes the concept for an Intelligent Control System (ICS) to assist the optimization of the production process of steel in a holistic way, considering quality, economic and environmental parameters. Processes environmental evaluation are based on the definition of Key Performance Indicators (KPIs) susceptible to be managed online by the ICS and this communication is devoted to the development of a methodology for KPI selection. Then, the procedure is applied to a case study, the Hot Rolling Mill, and after its systematic application a collection of KPIs based on GHG emissions monitoring suitable to be managed automatically in real time is proposed. Keywords: steel;intelligent control system; hot strip mill